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обновлено 45 минут назад

AI Native Staff Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Native Staff Engineer (LLM/RAG/Agents): Building and shipping production AI-native product systems for recruitment, combining LLMs, agents, and deterministic software with an accent on reliability, scalability, latency, and cost efficiency. Focus on designing RAG pipelines, tool-using agents, evaluation frameworks, and robust cloud-native backend architectures.

Location: Hybrid setup with occasional travel

Company

hirify.global is building an AI-native recruitment product that combines agentic AI systems with enterprise software.

What you will do

  • Design and ship AI-powered product features from architecture through production.
  • Build systems that combine LLMs, agents, and deterministic software.
  • Implement RAG pipelines, structured reasoning flows, tool-using agents, vector databases, and embedding pipelines.
  • Improve system reliability, latency, cost efficiency, accuracy, safety, and user experience.
  • Use AI agents to accelerate development, testing, prototyping, and architecture decisions.
  • Shape AI-native engineering standards, mentor engineers, and contribute to long-term technical direction.

Requirements

  • 8+ years of professional software engineering experience.
  • Proven experience designing and shipping large-scale production systems and owning architecture across services or product domains.
  • Strong backend fundamentals, including APIs, distributed systems, data modeling, concurrency, reliability, monitoring, incident handling, and performance tuning.
  • Experience with cloud-native systems on GCP, AWS, or Azure.
  • Production experience shipping LLM-powered features, RAG systems, AI agents, and tool-using multi-step reasoning systems.
  • Experience designing LLM evaluation frameworks and optimizing AI systems for latency, cost efficiency, reliability, quality, safety, and regression detection.

Culture & Benefits

  • Hybrid work setup with occasional travel.
  • Ownership of architecture and AI direction.
  • High-velocity, high-impact environment focused on practical production outcomes.
  • Very competitive compensation package and meaningful stock options.
  • MacBook Pro and an AI tooling budget.
  • Opportunity to help define AI-native enterprise software.

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